title: Automating and improving the data quality of a nursing department quality management program at a university hospital.
abstract: BACKGROUND
  The development and implementation of a relational database program for nursing quality management at a university hospital was stimulated by a lack of consistent data management and analysis tools in the existing noncomputerized program.
  An initial software prototype implemented in the critical care service included data collection instruments for five areas: medication errors, patient falls, returns to an intensive care unit within 48 hours, hospital-acquired skin breakdown, and unplanned extubations. Access to the database was limited and paper reports only were disseminated on a scheduled basis. In a second phase, the database is being deployed throughout the nursing department using a local area network. Nurse managers will enter and interact with the quality database online and have access to graphics, reports, and action plan development.
  A wide range of potential errors influences decisions on how to collect, store, retrieve, and process quality management data. Each type of error affects the nurse manager's ability to identify significant patterns or trends that are amenable to intervention. There is no right way of constructing and implementing a quality improvement database; only an optimum balance between cost, complexity, and efficacy.
  
  
  CONCLUSIONS
  Initial feedback from end uses has been positive. A three-year experience with a personal computer database suggests that the personal computer-based information technology is appropriate for small to medium applications and can support departmentwide CQI efforts. A case scenario using simulated data is included to illustrate the use of computerized reports in assessing and taking action on an increase in falls.
authors.affiliation: University of North Carolina Hospitals, Chapel Hill 27514, USA. jwelton.nur1@mail.unch.unc.edu
authors.forename: J M
authors.initials: JM
authors.lastname: Welton
authors.forename: S
authors.initials: S
authors.lastname: Jarr
mesh_terms: D000058:Accidental Falls / Q000706:statistics & numerical data; D003625:Data Collection / Q000379:methods / Q000592:standards; D003626:Data Display; D003627:Data Interpretation, Statistical; D001330:Electronic Data Processing / Q000379:methods* / Q000592:standards; D006746:Hospital Bed Capacity, 500 and over; D006784:Hospitals, Teaching; D006801:Humans; D016247:Information Storage and Retrieval; D016347:Medical Records Systems, Computerized; D009657:North Carolina; D009738:Nursing Service, Hospital / Q000458:organization & administration / Q000592:standards*; D009936:Organizational Innovation; D015203:Reproducibility of Results; D012308:Risk Management; D012985:Software Design; D017749:Total Quality Management / Q000379:methods*; D014584:User-Computer Interface